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Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo
09:19

Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo

Published on: February 6, 2015

Pharmacogenetics/genomics of membrane transporters in cancer chemotherapy

Ying Huang1

  • 1Department of Pharmaceutical Sciences, College of Pharmacy, Western University of Health Sciences, Pomona, CA 91766, USA. yhuang@westernu.edu

Cancer Metastasis Reviews
|February 27, 2007
PubMed

Insights

Genetic variations in drug transporters significantly impact cancer treatment outcomes. Understanding these genetic factors offers new strategies for personalized cancer therapy and predicting drug response.

Area of Science:

  • Pharmacogenomics
  • Molecular Biology
  • Cancer Therapy

Background:

  • Inter-individual variability in drug response and adverse drug reactions contribute to cancer treatment failure.
  • Membrane transporters play a crucial role in drug disposition, influencing chemosensitivity and resistance.
  • Genetic factors are key determinants of this variability in drug transport and targeting.

Purpose of the Study:

  • To review genetic variations in key efflux (ABC family) and uptake (SLC family) transporters.
  • To discuss the relevance of these genetic variations in cancer chemotherapy.
  • To outline a pharmacogenomic approach for predicting anticancer drug response.

Main Methods:

  • Review of literature on genetic variations in ATP-binding cassette (ABC) and solute carrier (SLC) transporters.
  • Analysis of correlations between anticancer drug potency and transporter gene expression in cancer cell lines.

Main Results:

  • Genetic variations in transporters like ABCB1, ABCC1, ABCC2, ABCG2, SLC19A1, and SLCO1B1 are relevant to cancer chemotherapy.
  • A pharmacogenomic approach shows promise in identifying relevant transporters and predicting drug response.

Conclusions:

  • Pharmacogenetic studies of membrane transporters are vital for optimizing cancer therapy.
  • Understanding transporter genetics can lead to more effective and personalized cancer treatments.
  • A pharmacogenomic approach aids in predicting patient response to anticancer drugs.

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